MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202541129885 A) filed by Saveetha Engineering College, Chennai, Tamil Nadu, on Dec. 22, 2025, for 'generative ai-driven healthcare framework with ocr-based medical record digitization and predictive.'
Inventor(s) include Dr. Michael Mahesh K; Ravi Kumar Tenali; Dr Jayanthi G; Bala Murugan B; Chaitanya P S; and Mahalakshmi K.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "Recently, the increasing amount of medical information as well as the continued use of unstructured clinical documents emphasize the importance of smart healthcare systems that enable the efficient digitization of data, early risk estimation, and patient engagement. The conventional systems in the healthcare management field mainly target the storage and conventional interpretation of the collected clinical information. Therefore, this process has continued to result in late clinical insights, less patient knowledge, and poor patient compliance. Current systems in the field fail to enable smart capabilities that facilitate follow-ups and patient/medical practitioner interaction. With the advent of emerging technologies, the proposed invention brings forth a 'Generative AI-Driven Healthcare Framework' incorporating medical record digitization through OCR, predictive pre-diagnosis, and Al-driven conversational support services on a single online platform. This automatically extracts structured medical data from digitally captured reports and prescriptions through advanced OCR methods, which helps in efficient data storage and retrieval. Al algorithms process the structured data to develop predictive health risk alerts. The proposed system also integrates a Generative Al chatbot that can generate explanations for medical records and health indicators in natural language, making it easier for patients to understand. The system includes an auto medicine reminder that helps increase patient compliance by sending alerts according to the prescribed schedule. The system also includes role-based access for administrators, doctors, and patients, and has real-time monitoring and analysis functionalities. The proposed system can thus convert the traditional management of healthcare into a smart, interactive, and patient-centric system enhancing clinical efficiency, early awareness, and continuity of care."
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